美国留学计算机专业个人陈述范文.

　　虽然美国大学的录取结果是通过综合考量GPA、标准化考试成绩、以及课外活动等方面，但申请综合排名前50的大学，美国留学文书Essay始终是制胜环节。除了Common Application系统要求的两篇Essay保持不变以外，各学校的Essay题目历年都会有所变化。可无论怎么变，都无外乎几种主要类型。本文对一些常见Essay Topic进行了分类，并将每一类的写作思路和选材角度做了详细介绍。

　　【计算机专业】个人陈述 Personal Statement 范文模板

　　A fourth-year student grounded solidly in the basics of computer science, I am writing in pursuit of graduate studies that I hope can help me acquire cutting-edge expertise in software programming in general and parallel processing in particular.

　　Intrigued by the power of the computer since high school, I have been trying to stay on top of the computer science by concentrating my undergraduate studies on those subjects that underpin the discipline, particularly mathematics and electronics. To build up my solid knowledge in these subjects, I have taken virtually all the related courses that the university has had to offer. These courses include Algorithm & Data Structure, Mathematical Modeling, Network Theory, Digital Circuit, Discrete Mathematics, and Electric Circuit. With a sophisticated understanding in these areas, I have been well positioned to appreciate the basic theories of computer science and their applications to software development.

　　Aided by the firm command of the basics, I have found it not only easy but also exciting to study the various subjects covered by my major. As most of my classmates, I took a variety of courses ranging from AI to Computer Network, from AI Programming to Knowledge Engineering, from Pattern Recognition to Software Engineering, and from Database Design to Programming Language Design. But I distinguished myself by my academic record, which places me as one of the very top students in my class. My grades in these course never went below A or B. I have also stood out as one of the few who have taught themselves Real Time System and Computer Graphics.

　　Armed with sound training in the basic theories and applied technologies, I have been able to move on into deeper and wider areas of computer science. Early in my university life, I began to understand that the modern computer&apos&aposs base, the Turing machine, was reaching its limits in AI. Gradually, I have narrowed down my research interest to parallel & distributive computing, which I understand can significantly boost the performance of personal computers by giving them some of the functions of mainframe computers.

　　Of all the areas of computer science, parallel processing fascinates me the most. The term first came to me when I read the book Computer Organization & Design: the Hardware/Software Interface as part of my Computer Architecture course. By teaching me how the performance of computers can be improved through pipelining and parallel processing, the book reshaped my thinking in computer science.

　　My lab experience deepened my understanding of parallel processing. In my third year, I worked on a GIFT project with Dr. Komatsu, chi researcher of IBM Tokyo Research Laboratory and Dr. Koseki, one of Dr. Komatsu&apos&aposs colleagues. The project was to introduce the architecture supports that can allow compilers to derive more parallelism from programs. These architecture supports include three designs, a conditional execution mechanism to execute instructions without normal conditional jump instructions, speculative execution mechanism, and a dynamic memory disambiguation mechanism to execute memory access instructions simultaneously.

　　As undergraduate students seldom get to be involved in actual research, I took full advantage of the opportunity of working in the lab. I particularly enjoyed the seminars held twice a week as part of the lab work. At these seminars, I engaged in in-depth discussions with Master&apos&aposs students under Dr. Komatsu&apos&aposs seasoned guidance. The lab experience is adding weight and insights to my graduation paper An Improvement of Software pipelining using Loop Transformations. In this paper, I will introduce a translation algorithm using loop interchange and loop skewing. This algorithm can minimize the initiation interval of loop nest to improve the performance of software pipelining.

　　Through my lab experience and other research, I have developed a long-term professional objective: the advancement of the parallel processing technology. While I have strong faith in this technology, I also know its limitations as it is today. Some sequential algorithms can&apos&apost be easily translated into fast parallel algorithms and most compilers can only distribute works on one platform. Another unsettled problem is that programming parallel computers is now still a manual work. But even the modern language (like Java, C++) can do some automatic translation work. If a compiler can be developed to translate and distribute work into different platforms, personal computers will be able to work like mainframe computers at a fraction of the mainframes&apos&apos costs. This will make it possible to connect all the computers in the world and speed up all the processes.

　　To help take the parallel processing technology beyond what is capable of today, I have to undertake more advanced studies. This, I believe, can only be accomplished in a quality graduate program like yours. I plan to pursue a master&apos&aposs degree with a concentration on paralleling and distributing compilers, operating systems or computer networks, a combination thereof. With the training that goes into such an advanced degree, I think I will be able to take great strides towards fulfilling my professional objective. When I do, I think I will be standing on the cutting-edge of the computer science.

　　面临着大批的申请者，招生委员会是如何快速有效的筛选出优秀的申请者呢?当然，他们无非是看申请者的硬件及软件。所谓硬件，是指申请者自身的高中学校背景(包括高中各科成绩)和标准化考试成绩(TOEFL/ IELTS/SAT等语言考试)。软件则是指申请者的推荐人，推荐信内容，主essay，简历和所申请学校的命题小essay。想要了解更多关于“美国本科留学文书”的信息，请拨打免费留学热线：400-601-0022，或者直接点击网页上的“在线咨询”，与我们的留学专家一对一沟通交流!

　　虽然美国大学的录取结果是通过综合考量GPA、标准化考试成绩、以及课外活动等方面，但申请综合排名前50的大学，美国留学文书Essay始终是制胜环节。除了Common Application系统要求的两篇Essay保持不变以外，各学校的Essay题目历年都会有所变化。可无论怎么变，都无外乎几种主要类型。本文对一些常见Essay Topic进行了分类，并将每一类的写作思路和选材角度做了详细介绍。

　　【计算机专业】个人陈述 Personal Statement 范文模板

　　A fourth-year student grounded solidly in the basics of computer science, I am writing in pursuit of graduate studies that I hope can help me acquire cutting-edge expertise in software programming in general and parallel processing in particular.

　　Intrigued by the power of the computer since high school, I have been trying to stay on top of the computer science by concentrating my undergraduate studies on those subjects that underpin the discipline, particularly mathematics and electronics. To build up my solid knowledge in these subjects, I have taken virtually all the related courses that the university has had to offer. These courses include Algorithm & Data Structure, Mathematical Modeling, Network Theory, Digital Circuit, Discrete Mathematics, and Electric Circuit. With a sophisticated understanding in these areas, I have been well positioned to appreciate the basic theories of computer science and their applications to software development.

　　Aided by the firm command of the basics, I have found it not only easy but also exciting to study the various subjects covered by my major. As most of my classmates, I took a variety of courses ranging from AI to Computer Network, from AI Programming to Knowledge Engineering, from Pattern Recognition to Software Engineering, and from Database Design to Programming Language Design. But I distinguished myself by my academic record, which places me as one of the very top students in my class. My grades in these course never went below A or B. I have also stood out as one of the few who have taught themselves Real Time System and Computer Graphics.

　　Armed with sound training in the basic theories and applied technologies, I have been able to move on into deeper and wider areas of computer science. Early in my university life, I began to understand that the modern computer&apos&aposs base, the Turing machine, was reaching its limits in AI. Gradually, I have narrowed down my research interest to parallel & distributive computing, which I understand can significantly boost the performance of personal computers by giving them some of the functions of mainframe computers.

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